An ISAR Image Component Recognition Method Based on Semantic Segmentation and Mask Matching. [PDF]
Sensors (Basel), 2023 Zhu X, Zhang Y, Lu W, Fang Y, He J.
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Μελέτη μεθόδων μη παραμετρικής φασματικής ανάλυσης για την απεικόνιση εναέριων στόχων με την χρήση ραντάρ αντίστροφης συνθετικής απεικόνισης [PDF]
, 2014 Αντικείμενο της διατριβής αποτελεί η μελέτη της απεικονιστικής τεχνικής του ραντάρ αντίστροφης συνθετικής απεικόνισης (Inverse Synthetic Aperture Radar - ISAR) με την χρήση μεθόδων μη παραμετρικής φασματικής ανάλυσης. Οι μέθοδοι που εξετάζονται είναι οι μέθοδοι μη παραμετρικής φασματικής ανάλυσης CAPON και APES, ο αλγόριθμος εκτίμησης φασματικών ...
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Sparse representation for the ISAR image reconstruction [PDF]
, 2016 In this paper, a sparse representation for the data form a multi-input multi-output based inverse synthetic aperture radar (ISAR) system is derived for two dimensions.
Hu, Mengqi
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Advanced studies of electromagnetic scattering [PDF]
In radar signature applications it is often desirable to generate the range profiles and inverse synthetic aperture radar (ISAR) images of a target. They can be used either as identification tools to distinguish and classify the target from a collection ...
Ling, Hao
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Dynamic Electromagnetic Scattering Simulation of Tilt-Rotor Aircraft in Multiple Modes. [PDF]
Sensors (Basel), 2023 Fei Z, Yang Y, Jiang X, Zhao Q, Chen X.
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, 2020 Inverse Synthetic Aperture Radar (ISAR) is a powerful signal processing technique for imaging moving targets in range and cross-range domains. In this thesis, scattering EM field is collected within a wide band ? wide angle range. If this is the case, FFT method cannot be readily used for 2D ISAR imaging application.
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Autofocusing of Maneuvering Targets in Terahertz Inverse Synthetic Aperture Radar Imaging Based on Damped Newton Method. [PDF]
Sensors (Basel), 2022 Wang H, Yang Q, Wang H, Deng B.
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Design of Wideband FMCW Radar Transceiver System Using Photonic Elements. [PDF]
Micromachines (Basel), 2023 Yoo S, Bae Y, Jang S.
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Autofocus for ISAR Imaging Using Higher Order Statistics [PDF]
Autofocus is imperative for inverse synthetic aperture radar (ISAR) imaging. In this letter, a new approach for ISAR autofocus is developed by using fourth-order statistics properties of the radar’s return signal.
Liu, Y, She, Zhishun
core
Recognition of Micro-Motion Jamming Based on Complex-Valued Convolutional Neural Network. [PDF]
Sensors (Basel), 2023 Shi C, Zhang Q, Lin T, Liu Z, Li S.
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